面向故障预测与健康管理的传感器优化配置

Research on Optimal Sensor Configuration for Fault-Oriented Prediction and Health Management

传感器优化配置是保证装备故障预测与健康管理(Prognostics and Health Management,PHM)系统有效实现的基础。针对目前陆军装备保障中缺乏有效的传感器配置方法的现状,以某型防空导弹调平起竖系统为研究对象,建立了考虑传感器失效的PHM系统传感器优化配置模型。对导弹发射车调平起竖系统控制回路进行了分析,在此基础上形成系统的故障-传感器相关性矩阵;根据系统的指标要求建立传感器优化配置模型,采用蚁群算法求解;将结果与粒子群算法进行比较,表明利用蚁群算法取得了更优的配置方案,能够为PHM系统中装备的传感器优化配置提供有效指导。

The optimal configuration of sensors is the basis to ensure the effective fault prediction of the equipment fault prediction and health management(PHM)system.In view of the lack of effective sensor configuration methods in army equipment support,a sensor optimal configuration model of PHM system considering sensor failure is established based on a certain Air Defense Missile Erecting and leveling system.Firstly,the control loop of the leveling and erecting system of the missile launch vehicle is analyzed,and then the fault sensor correlation matrix of the system is formed.Secondly,according to the index requirements of the system,the optimal sensor configuration model is established and solved by the ant colony algorithm.Finally,the results are compared with the particle swarm algorithm,and the results show that the ant colony algorithm can achieve a better configuration scheme It can provide effective guidance for the optimal configuration of sensors in PHM system.